Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology
Ira W Deveson , Binsheng Gong , Kevin Lai , Jennifer S LoCoco
Nature Biotechnology 1 -14
2
2021
Towards population-specific pharmacogenomics in the era of next-generation sequencing.
Baitang Ning , Ruth Roberts , Weida Tong , Zhichao Liu
Drug Discovery Today
1
2021
Unraveling Gene Fusions for Drug Repositioning in High-Risk Neuroblastoma.
Mike Mikailov , Ruth Roberts , Ruili Huang , Weida Tong
Frontiers in Pharmacology 12 608778 -608778
2021
InferBERT: A Transformer-Based Causal Inference Framework for Enhancing Pharmacovigilance
Xiaowei Xu , Weida Tong , Zhichao Liu , Xingqiao Wang
Frontiers in Artificial Intelligence 4
14
2021
Current status of methods for defining the applicability domain of (quantitative) structure-activity relationships. The report and recommendations of ECVAM Workshop 52.
Tatiana I. Netzeva , Andrew P. Worth , Tom Aldenberg , Romualdo Benigni
Atla-alternatives To Laboratory Animals 33 ( 2) 155 -173
803
2005
Reproducible and reliable microarray results through quality control: good laboratory proficiency and appropriate data analysis practices are essential
Leming Shi , Roger G Perkins , Hong Fang , Weida Tong
Current Opinion in Biotechnology 19 ( 1) 10 -18
124
2008
Lessons Learned from Two Decades of Anticancer Drugs.
Zhichao Liu , Brian Delavan , Ruth Roberts , Weida Tong
Trends in Pharmacological Sciences 38 ( 10) 852 -872
31
2017
Potential Reuse of Oncology Drugs in the Treatment of Rare Diseases
Zhichao Liu , Hong Fang , William Slikker , Weida Tong
Trends in Pharmacological Sciences 37 ( 10) 843 -857
7
2016
Toxicogenomics: A 2020 Vision.
Zhichao Liu , Ruili Huang , Ruth Roberts , Weida Tong
Trends in Pharmacological Sciences 40 ( 2) 92 -103
29
2019
Molecular dynamics simulations and applications in computational toxicology and nanotoxicology.
Chandrabose Selvaraj , Sugunadevi Sakkiah , Weida Tong , Huixiao Hong
Food and Chemical Toxicology 112 495 -506
30
2018
Direct comparison of performance of single nucleotide variant calling in human genome with alignment-based and assembly-based approaches.
Leihong Wu , Gokhan Yavas , Huixiao Hong , Weida Tong
Scientific Reports 7 ( 1) 10963 -10963
15
2017
Structure-activity relationships for a large diverse set of natural, synthetic, and environmental estrogens.
Hong Fang , Weida Tong , Leming M. Shi , Robert Blair
Chemical Research in Toxicology 14 ( 3) 280 -294
383
2001
Assessment of Prediction Confidence and Domain Extrapolation of Two Structure–Activity Relationship Models for Predicting Estrogen Receptor Binding Activity
Weida Tong , Qian Xie , Huixiao Hong , Leming Shi
Environmental Health Perspectives 112 ( 12) 1249 -1254
86
2004
Using Decision Forest to Classify Prostate Cancer Samples on the Basis of SELDI-TOF MS Data: Assessing Chance Correlation and Prediction Confidence
Weida Tong , Qian Xie , Huixiao Hong , Hong Fang
Environmental Health Perspectives 112 ( 16) 1622 -1627
39
2004
Next-generation sequencing and its applications in molecular diagnostics
Zhenqiang Su , Baitang Ning , Hong Fang , Huixiao Hong
Expert Review of Molecular Diagnostics 11 ( 3) 333 -343
150
2011
Surface Chemistry Proteomics and Biomarker Discovery in Multiple Myeloma.
Bangzheng J. Chen , Huixiao Hong , Weigong Ge , Weida Tong
Blood 106 ( 11) 2493 -2493
2005
Evaluation of Quantitative Structure−Activity Relationship Methods for Large-Scale Prediction of Chemicals Binding to the Estrogen Receptor†
Weida Tong , David R. Lowis , Roger Perkins , Yu Chen
Journal of Chemical Information and Computer Sciences 38 ( 4) 669 -677
171
1998
Endocrine Disrupting Chemicals Mediated through Binding Androgen Receptor Are Associated with Diabetes Mellitus
Sugunadevi Sakkiah , Tony Wang , Wen Zou , Yuping Wang
International Journal of Environmental Research and Public Health 15 ( 1) 25
24
2017
Integrating Drug’s Mode of Action into Quantitative Structure–Activity Relationships for Improved Prediction of Drug-Induced Liver Injury
Leihong Wu , Zhichao Liu , Scott Auerbach , Ruili Huang
Journal of Chemical Information and Modeling 57 ( 4) 1000 -1006
7
2017
Classification of cDNA Array Genes That Have a Highly Significant Discriminative Power Due to Their Unique Distribution in Four Brain Regions
Hong Fang , Weida Tong , Leming Shi , Robert L. Jakab
DNA and Cell Biology 23 ( 10) 661 -674
5
2004
hong Fang Huixiao Hong Roger Perkins Zhichao Liu Minjun Chen Zhenqiang Su Xiaowei Xu FAN, Xiaohui (范骁辉) Halil Bisgin Heng Luo Pierre R. Bushel Tao Chen, Ph.D., D.A.B.T. Susanna-Assunta Sansone Jie Shen Vikrant Vijay Christopher Mason May Dongmei Wang, FAIMBE,FIAMBE,FIEEE,ELATES Fellow Scott S. Auerbach Chun-Wei Tung Ke Yu